基于瓦斯浓度监测异常数据预报煤与瓦斯突出

Based on Abnormal Gas Concentration Monitoring Data to Forecast Coal and Gas Outburst

针对在发生煤与瓦斯突出前夕很长一段时间瓦斯浓度监测数据会异常但不会超限,因此容易被忽视的问题,提出了通过对瓦斯浓度监测数据的移动平均线、变动率和方差3个指标的综合分析,利用瓦斯浓度监测数据预报煤与瓦斯突出的方法,实现对工作面煤与瓦斯突出的预报。结果表明,此方法能够实现对工作面煤与瓦斯突出的预报。

Based on the occurrence of coal and gas outburst on the eve of a long period of time, abnormal gas concentration monitoring data but not overrun, the ignoring problem due to it, the gas concentration monitoring data of the moving average, the rate of change and variance, the three indexes of comprehensive analysis of variance was put forward. Using the monitoring data of gas concentration prediction method of coal and gas outburst to implement coal and gas outburst forecast in working face. The examples proved that by this method can realize coal and gas outburst forecast in the working face.